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Aditya Karlekar
ResearcherPublications, citations & collaboration network
Aditya Karlekar is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 6 works, 317 citations, an h-index of 5 and an i10-index of 4.
6
Works
317
Citations
5
h-index
4
i10-index
IDs:OpenAlex
How has Aditya Karlekar's publication output changed over time?
ScholarIQpublication output · 2019–2023
Output declined50% over the shown period — from 2 works in 2019 to 1 in 2023.
2
1
1
1
1
20192020202120222023
What are the most-cited papers on Aditya Karlekar?
ScholarIQmost cited works
SoyNet: Soybean leaf diseases classification
Aditya Karlekar, Ayan Seal
Computers and Electronics in Agriculture. 2020200 Citations
Fuzzy c-means clustering using Jeffreys-divergence based similarity measure
Ayan Seal, Aditya Karlekar, Ondřej Krejcar, Consuelo Gonzalo‐Martín
S140556538. 201958 CitationsOPEN ACCESS
Fuzzy K-Means Using Non-Linear S-Distance
Aditya Karlekar, Ayan Seal, Ondřej Krejcar, Consuelo Gonzalo‐Martín
IEEE Access. 201937 CitationsOPEN ACCESS
Performance and Convergence Analysis of Modified C-Means Using Jeffreys-Divergence for Clustering.
Ayan Seal, Aditya Karlekar, Ondřej Krejcar, Enrique Herrera‐Viedma
S2738898797. 202115 CitationsOPEN ACCESS
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
Hadi Abdullah, Aditya Karlekar, Saurabh Prasad, Muhammad Sajidur Rahman, Logan Blue, Luke A. Bauer, Vincent Bindschaedler, Patrick Traynor
20236 CitationsOPEN ACCESS
Related on ScholarIQ
SoyNet: Soybean leaf diseases classification
Paper
Fuzzy c-means clustering using Jeffreys-divergence based similarity measure
Paper
Fuzzy K-Means Using Non-Linear S-Distance
Paper
Performance and Convergence Analysis of Modified C-Means Using Jeffreys-Divergence for Clustering.
Paper
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
Paper
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
Paper